Don’t Use K-fold Validation for Time Series Forecasting

How to perform temporal cross validation with sktime in python

Alexandra Amidon
Towards Data Science
5 min readJul 21, 2021

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Photo by Joshua Dixon on Unsplash

Cross validation is a useful procedure to help select optimal hyperparameters for a machine learning model. It is especially useful for smaller datasets, where there is not enough data to create representative train, validation, and test sets. Simply stated, cross…

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